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Being AI-Driven

Being AI-Driven

Imagine a company where every decision, strategy, customer interaction, and routine task is enhanced by AI. From predictive analytics uncovering market insights to intelligent automation streamlining operations, this AI-driven enterprise represents what a successful business could look like. Does this company exist? Not yet, but the building blocks for creating it are already here. To envision a day in the life of such an AI enterprise, let’s fast forward to the year 2028 and visit Tectonic 5.0, a fictional 37-year-old mid-sized company in Oklahoma that provides home maintenance services. After years of steady sales and profit growth, the 2,300-employee company has hit a rough patch. Tectonic 5.0’s revenue grew just 3% last year, and its 8% operating margin is well below the industry benchmark. To jumpstart growth, Tectonic 5.0 has expanded its product portfolio and decided to break into the more lucrative commercial real estate market. But Tectonic 5.0 needs to act fast. The firm must quickly bring its new offerings to market while boosting profitability by eliminating inefficiencies and fostering collaboration across teams. To achieve these goals, Tectonic 5.0 is relying on artificial intelligence (AI). Here’s how each department at Tectonic 5.0 is using AI to reach these objectives. Spot Inefficiencies with AI With a renewed focus on cost-cutting, Tectonic 5.0 needed to identify and eliminate inefficiencies throughout the company. To assist in this effort, the company developed a tool called Jenny, an AI agent that’s automatically invited to all meetings. Always listening and analyzing, Jenny spots problems and inefficiencies that might otherwise go unnoticed. For example, Jenny compares internal data against industry benchmarks and historical data, identifying opportunities for optimization based on patterns in spending and resource allocation. Suggestions for cost-cutting can be offered in real time during meetings or shared later in a synthesized summary. AI can also analyze how meeting time is spent, revealing if too much time is wasted on non-essential issues and suggesting ways to have more constructive meetings. It does this by comparing meeting summaries against the company’s broader objectives. Tectonic 5.0’s leaders hope that by highlighting inefficiencies and communication gaps with Jenny’s help, employees will be more inclined to take action. In fact, it has already shown considerable promise, with employees being five times more likely to consider cost-cutting measures suggested by Penny. Market More Effectively with AI With cost management underway, Tectonic 5.0’s next step in its transformation is finding new revenue sources. The company has adopted a two-pronged approach: introducing a new lineup of products and services for homeowners, including smart home technology, sustainable living solutions like solar panels, and predictive maintenance on big-ticket systems like internet-connected HVACs; and expanding into commercial real estate maintenance. Smart home technology is exactly what homeowners are looking for, but Tectonic 5.0 needs to market it to the right customers, at the right time, and in the right way. A marketing platform with built-in AI capabilities is essential for spreading the word quickly and effectively about its new products. To start, the company segments its audience using generative AI, allowing marketers to ask the system, in natural language, to identify tech-savvy homeowners between the ages of 30 and 60 who have spent a certain amount on home maintenance in the last 18 months. This enables more precise audience targeting and helps marketing teams bring products to market faster. Previously, segmentation using legacy systems could take weeks, with marketing teams relying on tech teams for an audience breakdown. Now, Tectonic 5.0 is ready to reach out to its targeted customers. Using predictive AI, it can optimize personalized marketing campaigns. For example, it can determine which customers prefer to be contacted by text, email, or phone, the best time of day to reach out, and how often. The system also identifies which messaging—focused on cost savings, environmental impact, or preventative maintenance—will resonate most with each customer. This intelligence helps Tectonic 5.0 reach the optimal customer quickly in a way that speaks to their specific needs and concerns. AI also enables marketers to monitor campaign performance for red flags like decreasing open rates or click-through rates and take appropriate action. Sell More, and Faster, with AI With interested buyers lined up, it’s now up to the sales team to close deals. Generative AI for sales, integrated into CRM, can speed up and personalize the sales process for Tectonic 5.0 in several ways. First, it can generate email copy tailored to products and services that customers are interested in. Tectonic 5.0’s sales reps can prompt AI to draft solar panel prospecting emails. To maximize effectiveness, the system pulls customer info from the CRM, uncovering which emails have performed well in the past. Second, AI speeds up data analysis. Sales reps spend a significant amount of time generating, pulling, and analyzing data. Generative AI can act like a digital assistant, uncovering patterns and relationships in CRM data almost instantaneously, guiding Tectonic 5.0’s reps toward high-value deals most likely to close. Machine learning increases the accuracy of lead scoring, predicting which customers are most likely to buy based on historical data and predictive analytics. Provide Better Customer Service with AI Tectonic 5.0’s new initiatives are progressing well. Costs are starting to decrease, and sales of its new products are growing faster than expected. However, customer service calls are rising as well. Tectonic 5.0 is committed to maintaining excellent customer service, but smart home technology presents unique challenges. It’s more complex than analog systems, and customers often need help with setup and use, raising the stakes for Tectonic 5.0’s customer service team. The company knows that customers have many choices in home maintenance providers, and one bad experience could drive them to a competitor. Tectonic 5.0’s embedded AI-powered chatbots help deliver a consistent and delightful autonomous customer service experience across channels and touchpoints. Beyond answering common questions, these chatbots can greet customers, serve up knowledge articles, and even dispatch a field technician if needed. In the field, technicians can quickly diagnose and fix problems thanks to LLMs like xGen-Small, which

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Boost Service Rep Productivity

Tips to Boost Service Rep and Field Service Tech Productivity Serviceblazer Allie Lawler shares top tactics for improving the productivity of service reps and field technicians. With over a decade of experience in the customer service industry, she has firsthand knowledge of how the landscape has changed, becoming more demanding and complex. Increased caseloads, rising customer expectations, and the pressure to generate revenue are placing significant stress on service teams. Research shows that 65% of service reps and 66% of mobile workers report that cases have become more complex. This complexity, combined with the rise of autonomous AI and heightened customer demands, can lead to burnout. Lawler explains that 69% of decision-makers in the service industry say that service rep attrition is a moderate to major challenge, which underscores the need for strategic solutions. Here are her top three strategies to boost productivity using Service Cloud and Salesforce Field Service, helping service teams thrive in today’s challenging environment. 1. Simplify Disjointed Processes One of the biggest productivity challenges for service reps and field techs is disjointed workflows. Although we picture service professionals actively engaging with customers, studies show that 61% of their day is spent on administrative tasks, internal meetings, and navigating fragmented systems. These disjointed processes slow down response times, increase the likelihood of errors, and hurt the customer experience. Streamline User Experience: A better-designed user experience can significantly reduce the time spent on non-customer-facing tasks. For instance, using Salesforce Lightning pages with Related Record and Dynamic Related List Components allows service reps to access all relevant information — from case details to account data — in one place. Quick-access buttons for workflows and automation further cut down the time spent searching for information, improving efficiency and customer satisfaction. Improve Accessibility: Enhanced accessibility benefits the entire team. Features like clear labeling and visual icons on Lightning Pages improve usability for everyone. These small changes can make navigating the system easier, especially for reps with visual impairments or those looking for a more intuitive experience. Make Pages Dynamic: Instead of overwhelming reps with unnecessary fields, conditional visibility can simplify the interface. By only displaying relevant fields at the right time, reps can focus on what’s important, reducing distractions and improving workflow efficiency. For mobile field technicians, ensuring they only see actionable information—like work order details or scheduling notes—can help them serve customers faster without wading through irrelevant data. 2. Empower Reps and Technicians to Make Decisions Autonomy is key to increasing both productivity and job satisfaction. Giving reps the ability to make decisions without needing constant managerial approval empowers them to solve issues faster and reduces customer wait times. Enable Exception-Based Approvals: One way to grant reps more decision-making power is through exception-based approvals. For example, allowing service reps to offer small discounts or credits without needing manager approval increases efficiency. Setting approval thresholds — such as allowing reps to approve discounts under 2%, but requiring approval for anything higher — strikes a balance between empowering reps and managing risk. Expand Field Technicians’ Roles: Field technicians can be given the ability to upsell services or renew contracts while they’re onsite, further enhancing productivity. With Field Service Mobile extensions, techs can access tools that allow them to complete tasks, upsell services, or even renew contracts directly from their mobile devices. This not only speeds up service but also contributes to revenue generation. 3. Use Metrics to Drive Motivation Keeping service reps and technicians motivated is crucial for maintaining productivity. Lawler suggests using both individual and team metrics to create a culture of accountability and improvement. Build a Leaderboard: A leaderboard that highlights top performers encourages healthy competition and gives reps something to strive toward. Recognition of their efforts helps create a motivated and engaged workforce. Provide Access to Personal Metrics: Giving reps access to their own performance metrics fosters a sense of ownership and encourages continuous improvement. For example, Lawler recommends using dynamic dashboards on the service reps’ homepages, showing them key metrics like case closures and current caseloads. Field technicians can also view their performance metrics by using deep links from the Field Service app to the Salesforce mobile app. This allows them to track their appointments, customer satisfaction scores, and overall performance, creating a sense of pride and motivation to improve. Boosting Productivity: A Summary By making small but impactful changes to the user experience, granting autonomy, and recognizing achievements, service organizations can significantly enhance productivity. Streamlining workflows, empowering decision-making, and motivating with metrics will help both service reps and field techs thrive — leading to happier customers and more successful teams. 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2024 outlook for customer service

The 2024 Outlook for Customer Service

The cornerstone of upcoming customer service success lies in grasping the contemporary expectations of customers—an experience that is both personalized and interconnected. However, the challenge is to maintain a delicate equilibrium between productivity and cost efficiency without compromising the quality of service. The solution lies in adeptly harnessing the appropriate technology. Looking forward to the future of customer service, generative AI emerges as a pivotal player, offering cost-effective approaches to meet the ever-evolving expectations of customers. Here are three emerging trends to contemplate as you formulate your customer service strategy for 2024. Embracing AI as an Opportunity, Not a Threat: Current research indicates that 45% of decision-makers in the service industry are presently utilizing AI, marking a substantial increase from 24% in 2020. While AI is becoming an integral part of customer service toolkits, more than half of decision-makers have not yet adopted it. Concerns include potential skill gaps, reservations about trust and reliability, and fears of substantial infrastructure investments. It is imperative for companies to exercise caution when deploying powerful technologies like AI. However, those who have embraced AI are already reaping the benefits of enhanced connection, information dissemination, and enrichment in every aspect of customer service. To leverage AI in enhancing service organizations, platforms like Service Cloud Unlimited+ provide comprehensive solutions. The latest training strategies are crucial in transforming service professionals into high-value agents, ensuring a secure and collaborative approach to exceptional customer service. Advancements in Field Service for Frontline Workers: A majority (65%) of mobile workers feel the weight of customer expectations, with 82% struggling to balance speed and quality in field service. Attracting and retaining frontline workers becomes challenging, underscoring the importance of field service management software. High-performing organizations recognize job satisfaction as a major benefit of such software, aiding in tasks traditionally considered time-consuming. AI contributes to the future of customer service in various ways, including predictive maintenance, automation of work summaries, and expanding options for self-service. Integrating AI into frontline workers’ tools with generative responses and work summaries enhances their proactive and productive capabilities. Revenue Generation at the Core of Customer Service: The convergence of sales, service, and commerce continues, driven by AI-driven cross-selling that transforms customer service into a profit center. Forward-thinking organizations pursue an end-to-end view of the customer journey, creating a continuous feedback loop. Communication channels, such as Apple Messages for Business in Service Cloud, facilitate seamless customer interaction. In 2024, service leaders can expect expanded access to customer information, shared goals across functions, and AI-powered insights driving proactive assistance and relationship-building. Metrics traditionally associated with sales and customer service will converge, focusing on customer satisfaction, loyalty, and overall lifetime value. Consolidating tech investments through unified platforms enhances communication and data sharing among departments. 2024 Outlook for Customer Service In constructing your customer service strategy for 2024, the key is to amalgamate data, unify the customer experience, and equip service teams to meet changing expectations while serving business needs. The mission remains to embrace the future of customer service by combining people, technology, and processes for faster, more effective service at scale, with AI playing a pivotal role at every step. The future of customer service commences now. Like Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Why Your Company Isn’t Like a Baseball Team Recently, Chris shared an excellent post about the new World Series Champion Houston Astros. In short, it was a reminder Read more

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